
Interactions between proteins are fundamental for every biological process and especially important in cell signaling pathways. Biochemical techniques that evaluate these protein-protein interactions (PPIs), such as in vitro pull downs and coimmunoprecipitations, have become popular in most laboratories and are essential to identify and validate novel protein binding partners. Most PPIs occur through small domains or motifs, which are challenging and laborious to map by using standard biochemical approaches because they generally require the cloning of several truncation mutants. Moreover, these classical methodologies provide limited resolution of the interacting interface. Here, we describe the development of an alternative technique to overcome these limitations termed "Protein Domain mapping using Yeast 2 Hybrid-Next Generation Sequencing" (DoMY-Seq), which leverages both yeast two-hybrid and next-generation sequencing techniques. In brief, our approach involves creating a library of fragments derived from an open reading frame of interest and enriching for the interacting fragments using a yeast two-hybrid reporter system. Next-generation sequencing is then subsequently employed to read and map the sequence of the interacting fragment, yielding a high-resolution plot of the binding interface. We optimized DoMY-Seq by taking advantage of the well-described and high-affinity interaction between KRAS and CRAF, and we provide high-resolution domain mapping on this and other protein-interacting pairs, including CRAF-MEK1, RIT1-RGL3, and p53-MDM2. Thus, DoMY-Seq provides an unbiased alternative method to rapidly identify the domains involved in PPIs by advancing the use of yeast two-hybrid technology.
570, Biochemistry & Molecular Biology, Biomedical and clinical sciences, yeast two-hybrid, 1.1 Normal biological development and functioning, Bioinformatics and Computational Biology, Medical and Health Sciences, Open Reading Frames, Underpinning research, Two-Hybrid System Techniques, Genetics, Protein Interaction Domains and Motifs, Amino Acid Sequence, domains, Human Genome, 500, High-Throughput Nucleotide Sequencing, Proteins, Biological Sciences, Biological sciences, protein–protein interaction, Chemical sciences, Chemical Sciences, next-generation sequencing, Biochemistry and Cell Biology, Generic health relevance, Research Article, Protein Binding
570, Biochemistry & Molecular Biology, Biomedical and clinical sciences, yeast two-hybrid, 1.1 Normal biological development and functioning, Bioinformatics and Computational Biology, Medical and Health Sciences, Open Reading Frames, Underpinning research, Two-Hybrid System Techniques, Genetics, Protein Interaction Domains and Motifs, Amino Acid Sequence, domains, Human Genome, 500, High-Throughput Nucleotide Sequencing, Proteins, Biological Sciences, Biological sciences, protein–protein interaction, Chemical sciences, Chemical Sciences, next-generation sequencing, Biochemistry and Cell Biology, Generic health relevance, Research Article, Protein Binding
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